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From the 1 of 9 linked papers with an AI index.

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20242026
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9 papers

quant-ph2026

Sharp Quantum Capacity Thresholds: Exponential Strong Converses for Degradable and Antidegradable Channels

Tulja Varun Kondra, Raphael Brinster, Hermann Kampermann +2

The quantum capacity of a noisy channel quantifies the maximum rate at which quantum information can be transmitted reliably. For general channels, its evaluation requires an optim…

quant-ph2026

Very Strong Irreversibility of Quantum Entanglement

Tulja Varun Kondra, Raphael Brinster, Hermann Kampermann +2

The paper proves that quantum entanglement manipulation is fundamentally irreversible by showing an exponential gap between the strong‑converse distillable entanglement and the str…

quant-ph2026

Optimality of universal conclusive entanglement concentration protocols

Alexandre C. Orthey, Aby Philip, Tulja Varun Kondra +1

Entanglement concentration is essential for quantum technologies, yet rigorous bounds on the success probability for universal protocols (those requiring no prior knowledge about t…

quant-ph2026

Fundamental limitations on entanglement extraction from purity

Tulja Varun Kondra, Pedro Barrios Hita, Justus Neumann +2

States of sufficiently low purity are separable and cannot be entangled by unital (purity-non-generating) operations. Since high-purity states are experimentally demanding, it is n…

quant-ph2025

Stochastic approximate state conversion for entanglement and general quantum resource theories

Tulja Varun Kondra, Chandan Datta, Alexander Streltsov

Quantum resource theories provide a mathematically rigorous way of understanding the nature of various quantum resources. An important problem in any quantum resource theory is to…

quant-ph2025

Second Law of Entanglement Manipulation with Entanglement Battery

Ray Ganardi, Tulja Varun Kondra, Nelly H. Y. Ng +1

A central question since the beginning of quantum information science is how two distant parties can convert one entangled state into another. It has been conjectured that such con…